A longitudinal study of early postoperative symptom cluster trajectories in patients with gynecologic malignancies.

ABSTRACT:

Objective

To explore the dynamic evolution of symptom clusters in patients with gynecologic malignancies during the early postoperative period and identify key transition points and influencing factors, providing evidence for precision symptom management in clinical nursing.

Methods

A longitudinal study was conducted among 324 patients using the MDASI-PeriOp-GYN on postoperative days 1 (T1), 5 (T2), and 7 (T3). Exploratory factor analysis identified symptom clusters at each time point, and growth mixture modeling (GMM) was applied to examine trajectory patterns. Latent profile analysis (LPA) and network analysis were performed at T2 to identify patient subgroups, influencing factors, and core symptoms.

Results

Five symptom clusters were identified: disease behavior, g

SUBMITTER: Jiarui L 

PROVIDER: S-EPMC12821995 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature